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Chapter 10: Healthcare Statistics
Health Information Management Technology: An Applied Approach Third Edition Chapter 10: Healthcare Statistics
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Descriptive Statistics
Most common type of statistics encountered by health information technician Describe population
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Types of Data Measurement Scales of measurement Nominal-level data
Ordinal-level data Interval-level data Ratio-level data
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Scales of Measurement Nominal-level data Ordinal-level data
Groups or categories Measures data by name Groups are mutually exclusive Example: race Ordinal-level data Some order Order is meaningful – not number Example: staging pressure ulcer
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Scales of Measurement Interval-level data Ordered and continuous data
Zero point is arbitrarily established Intervals between successive values are equal Example: temperature
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Scales of Measures Ratio-level data Highest level of measurement
Defined unit of measure Real zero value Intervals between successive values are equal Example: length of stay
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Discrete and Continuous Data
Discrete variables: Nominal or ordinal data Fall into categories Example: Gender Continuous variables Interval or ratio data Includes fractions Can perform mathematically calculations
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Ratios, Proportions, and Rates
Indicate number of times something happens Examples: morbidity, mortality, and natality
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Ratio Quantities being compared may be completely independent or show part of whole Independent 255 patients discharged alive, 15 died Part of whole 15 patients died out of 270 discharges
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Proportions Type of ratio Quantity is part of whole
Numerator is always included in denominator 2 patients have cancer / 2 patients with cancer + 8 without cancer = 0.2
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Rates Used to measure event over time.
May be used in performance improvement studies Number of cases occurring during a given time period / total cases or population at risk during the same time period
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Ratio, Proportion, and Rates
Rounding Policy should state 1 or 2 decimal points Round up at 5 or higher
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Measures of Central Tendency and Variability
Mean Median Mode Variability Range Variance Standard deviation
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Frequency Distribution
Values a variable can take and number of observations for each value
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Mean Arithmetic average of frequency distribution Disadvantages
Fractional values Sensitive to extreme measures
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Median Midpoint of a frequency distribution Advantages
Relatively easy to calculate Based on whole distribution—not portion Outliers do not influence it
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Mode Most frequent observation Advantages Disadvantages
Easy to obtain and interpret Not sensitive to extremes Easy to communication and explain Disadvantages Not descriptive when mode does not occur often and there is a large number of observations May be more than one mode Does not provide information on entire distribution
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Range Difference between smallest and largest value
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Graphic Display of Data
Presents large quantities of information Purpose is to communicate information about data Graph should Display data Allow user to think about meaning of data Avoid distortion of data Encourage user to make comparisons Reveal data at several levels—broad overview to fine detail
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Tables Orderly arrangement of values that groups data into rows and columns
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Characteristics of Tables
Self-explanatory All sources should be specified Headings for columns and rows should be specific and understandable Row and column totals should have been checked for accuracy Enter zero or dash rather than leave cell blank Categories should be mutually exclusive and exhaustive
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Data Alignment Text in table should be aligned at left
Heading may be centered Numeric values should be right aligned Decimals should be aligned
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Charts and Graphics Emphasize points and analyze and clarify relationships among variables Principles Distortion Proportion and scale Abbreviations Color Print
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Bar Charts Displays data from one or more variables
Bars may be horizontal or vertical
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Pie Chart Slices of pie show proportional contribution of each part
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Line Graph Display time trends X-axis shows unit of time
Y-axis shows variable being plotted Line connecting series of points Several sets of data can be presented on one graph Different lines Y-axis can be numbers or percent
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All Graphs Should: Be easy to read Use proper scale
Complete and accurate title Informative legend
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Histogram Displays frequency distribution
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Histogram vs. Bar Graph Bar graph Histogram
Data falls into groups or categories Categories are noncontinuous (discrete) Can be in fractions Histogram Continuous variables May be number or percent
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Frequency Polygon Graph depicting frequency of continuous data
Line format May have several frequency polygons on one graph
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Hospital Statistics Collect information on inpatient and outpatients on daily basis Monitor volume of students
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Standard Definitions Hospital inpatient Hospital newborn inpatient
Inpatient hospitalization Inpatient admission Inpatient discharge Hospital outpatient
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Inpatient Census Data Census reports patient activity for a 24 hour reporting period Inpatients admitted Inpatients discharged Intrahospital transfers Take count at same time of data Account for patients admitted and discharged on same day
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Inpatient Service Day Unit of measure for services received by one patient during a 24 hour period Daily inpatient census is equal to number of inpatient service days for a single day Compiled daily, weekly, monthly, and annually
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Inpatient Bed Occupancy Rate
Also called percentage of occupancy Percentage of official beds occupied by hospital inpatients for given period of time Bed count Bed count days May be greater than 100%
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Length of Stay Data Calculated for each patient after discharge
Calendar days from day of admission to discharge Adjust calculations for hospitalizations that cross calendar months Length of stay for patients admitted and discharged on same day is 1 Total length of stay
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Hospital Death (Mortality Rate)
Based on number of patients discharged alive and dead from facility Gross death rate Proportion of all hospital discharges that ended in death Net death rate Adjust death rate which excludes patients who died within 48 hours of admission
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Newborn Death Rate Newborns are included in hospital’s gross and net death rate Calculated separately Includes only newborns born alive at the hospital
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Fetal Death Rate Death that occurs prior to fetus’s complete expulsion or extraction from mother in a hospital facility Any length of pregnancy
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Fetal Death Classifications
Early fetal death: less than 20 weeks or weight of 500 grams or less Intermediate fetal death: at least 20 but less than 28 weeks or weight of between 501 and 1,000 grams Late fetal death: 28 weeks or weight of more than 1,000 grams
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Maternal Death Rate Death of any woman from any cause related to, or aggravated by, pregnancy or its management, regardless of duration or site of the pregnancy Does not include accidental or incidental causes Types Direct maternal death rate Indirect material death rate
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Autopsy Rates Examination of dead body to determine cause of death
Types of autopsies Hospital inpatient autopsy Hospital autopsy
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Types of Autopsy Rates Gross autopsy rates Net autopsy rate
Removes coroner or medical examiner cases Hospital autopsy rate Includes Bodies of inpatients who died in hospital excluding coroner or medical examiner Bodies of other hospital patients including ambulatory care, home health, and former hospital patients who died elsewhere but whose body is made available for autopsy
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Available for Autopsy Includes
Autopsy is performed by hospital pathologists or designated physician on body of patient treated at some point in the hospital Report of autopsy is filed in health record and in hospital laboratory or pathology department Tissue specimens maintained in hospital lab
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Fetal Autopsy Rate Performed to determine cause of fetal loss
Performed on intermediate or late fetal deaths
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Hospital Infection Rates
Hospital-acquired infection rates May be calculated for unit or entire hospital Postoperative infection rate Clean surgical case Surgical procedure Surgical operation
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Consultation Rate Consultation is when two or more physicians collaborate on patients diagnosis or treatment
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National Vital Statistics System
Collection and analysis of data related to: birth, death, marriage, divorce, fetal death, and induced terminations of pregnancy Used as part of effort to preserve and improve health of population National Vital Statistics System Maintains official vital statistics of the United States Part of National Center for Health Statistics
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Vital Statistics Standard forms Model procedures Standard certificates
Minimum basic data set Revise about every 10 years Used in Research Epidemiology Public health programs
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Certificate of Live Birth
Collects information on child and parents Collects information on pregnancy Not part of official birth certificate
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Death Certificate Used to compile causes of death Contains
Decedent information Place of death information Medical certification Disposition information Causes of death classified and coded by ICD-10
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Report of Fetal Death Completed when pregnancy results in stillbirth
Contains Information on parents History of pregnancy Cause of fetal death
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Report of Induced Termination of Pregnancy
Records information on: Place of induced termination Type of termination procedures Patient
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Linked Birth and Infant Death Data Set
Explores relationships between infant death and risk factors Service provided by NCHS
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Population-Based Statistics
Based on mortality and morbidity rates Can infer health of population Birth rates and measures of infant mortality
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Birth Rates and Measure of Infant Mortality
Live birth Delivery of product of conception that shows any sign of life after complete removal from the mother Crude birth rate
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Infant Mortality Neonatal mortality rate Postneonatal mortality rate
Up to 28 days of life Postneonatal mortality rate 28 days up to, but not including one year Infant death rate Under one year of age
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Death (Mortality) Rates
Crude death rate Measure of actual or observed mortality in a given population Cause-specific death rate Rate of death due to specified cause May be calculated for entire population, age, gender, or race Case fatality rate Probability of death among diagnosed cases of a disease
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Death (Mortality) Rates
Proportionate mortality ratio Measure of mortality due to specific cause for a specific time period Maternal mortality rate Deaths associated with pregnancy for specific community for a specific period of time
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Measures of Morbidity Measures to describe presence of disease in community or specific location Incidence rate Frequency of disease in different populations Prevalence rate Proportion of persons in population who have particular disease at a specific point in time or over specified period of time
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National Notifiable Diseases Surveillance System
Regular, frequent, and timely information on individuals cases is necessary to prevent and control disease Council of State and Territorial Epidemiologists and CDC determine which diseases are reported State reporting to CDC is optional
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External Sources of Healthcare Data
Benchmarking CDC Resources Cancer Surveillance, Epidemiology, and End Results (SEER) Fatal Accident Reporting (FARS) Data 2010 Injury Data and Resources Leading Causes of Death Mortality Natality
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National Center for Health Statistics
Part of CDC Examples of NVSS data Birth Mortality Linked births/infant deaths
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National Health Care Survey
National Ambulatory Medicare Care Survey National Hospital Ambulatory Medical Care Survey National Hospital Discharge Survey National Survey of Ambulatory Surgery National Home and Hospice Care Survey National Nursing Home Survey
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Agency for Healthcare Research and Quality
Agency of HHS Mission Improve outcomes and quality of healthcare Strengthen quality measurement and improvement Reduce costs of healthcare Address patient safety and medical errors Broaden access to effective services
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Healthcare Cost and Utilization Project (HCUP)
AHRQ database Used for benchmarking Data collected by states data organizations, state hospital associations, private data organizations, and federal government
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Internal Use of Statistics and Patient Data for Research
Data is turned into information for Joint Commission standards State licensing requirements Evaluation of healthcare providers Improve organizational performance
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Introduction to the Institutional Review Board
Required of organizations that conduct research on human subjects Committee that protects rights and welfare of research subjects Functions as ethics committee Evaluates risk versus benefits Informed consent
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Federal Regulation Requires Human Subjects to be Given:
Description of researching including purpose, timeframe of subject involvement, description of procedures to be followed, and what is experimental Description of reasonably foreseeable risks or discomforts Benefits to subject or others Disclosure of any appropriate alternative procedures or treatment
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Federal Regulation Requires Human Subjects to be Given:
Confidentiality of records When risk is more than minimal, statement on compensation or medical treatment available if injury occurs Who to contact for answers Statement that participation is voluntary with no penalties for discontinuing participation
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Privacy Considerations in Clinical and Biomedical Research
HIPAA Privacy Rule Protected Health Information Defines means by which human research subjects are informed of how health information will be used or disclosed Rights to information Protects privacy while allowing access to researchers
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Privacy Rule Authorization
PHI to be used or disclosed Who is authorized to use or disclose PHI Who the covered entity may make the request use or disclosure Description of purpose Expiration date or event Signature and date
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Privacy Rule Authorization
Right to revoke authorization at anytime and must be provided with procedure to do so If treatment, payment, enrollment, or eligibility of benefits are contingent on authorization and consequences for refusing to sign Any potential risk that PHI will be redisclosed by recipient and no longer protected by Privacy rule
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Data Interpretation Issues
Data can be misinterpreted Errors in calculations Errors in presentation of data
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Misleading Presentation of Numbers
Decisions are made based on data Making up data Misinformation
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Ignoring the Baseline Comparing raw numbers without adjusting baseline
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Selection Bias Sample does not represent population
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Graphical Misrepresentations
Graphs can be manipulated
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Ethical Guidelines in Statistics
Data collection, calculation, display, and interpretation must be appropriate and accurate Should follow rules of IRB Use appropriate statistical methods and techniques
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American Statistical Association’s Ethical Guidelines for Statistical Practice
Present findings and interpretation honestly and objectively Avoid untrue, deceptive, or undocumented statements Disclose any financial or other interests that may affect, or appear to affect, their professional statements
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